Scholar
Julie Bessac
Google Scholar ID: lefKcowAAAAJ
National Renewable Energy Laboratory
Citations & Impact
Citations
694
H-index
12
i10-index
17
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Taught courses including Applied Time Series at Virginia Tech; Led a bootcamp on Introduction to the Statistics of Spatial Data at The University of Chicago; Tutored on various topics such as statistical tests, measure theory and probability, Markov chains, data analysis, inferential statistics, and Microsoft Office software at ENSAI and Faculty of Economics, Universite de Rennes 1.
Research Experience
- Computational Statistician at the Computational Science Center at National Renewable Energy Laboratory, Golden, CO, USA, since 2023; Computational Statistician at the Mathematics and Computer Science division at Argonne National Laboratory, Lemont, IL, USA, 2017-2023; Post-doctoral appointment at the same division, 2014-2017, under the supervision of Mihai Anitescu and Emil Constantinescu.
Education
- PhD in Applied Mathematics, University of Rennes 1, Rennes, France, 2011-2014, under the supervision of Valerie Monbet and Pierre Ailliot; Master in Probability and Statistics, University of Rennes 1 and Ecole Normale Superieure de Cachan, Antenne de Bretagne, Rennes, France, 2010-2011; Agregation de Mathematiques, same institutions, 2009-2010; Graduate (Bachelor and Master) in Mathematics, Magistere de Mathematiques, University of Rennes and Ecole Normale Superieure de Cachan, Antenne de Bretagne, Rennes, France, 2005-2009.
Background
- Computational Statistician; Research interests: Statistical modeling and learning (spatiotemporal, multivariate, complex systems), Uncertainty quantification, Statistical validation methods, State-space models, Clustering, Deep learning, Statistics for AI/ML.
Miscellany
- Adjunct Professor in the Department of Mathematics at Virginia Tech, Blacksburg, VA, USA.
Co-authors